BiLSTM-MLAM: A Multi-Scale Time Series Prediction Model for Sensor Data Based on Bi-LSTM and Local Attention Mechanisms
Y Fan, Q Tang, Y Guo, Y Wei - Sensors, 2024 - mdpi.com
This paper introduces BiLSTM-MLAM, a novel multi-scale time series prediction model.
Initially, the approach utilizes bidirectional long short-term memory to capture information …
Initially, the approach utilizes bidirectional long short-term memory to capture information …
Application of SAO-Optimized Hybrid Neural Network Model in Stock Price Prediction
M Liang, X Li - 2024 9th International Conference on Intelligent …, 2024 - ieeexplore.ieee.org
With the increasing complexity of global financial markets, traditional stock price prediction
methods often perform poorly due to their inability to effectively handle nonlinear and high …
methods often perform poorly due to their inability to effectively handle nonlinear and high …
[PDF][PDF] Volatility Forecasting Of Bitcoin Prices: Time Series And Machine Learning Approach
U Arif, A Hafeez, S Azhar - Migration Letters, 2023 - researchgate.net
Digital currencies have attracted considerable attention worldwide over the last few years.
Bitcoin has the greatest market capitalization among cryptocurrencies; investors, analysts …
Bitcoin has the greatest market capitalization among cryptocurrencies; investors, analysts …